code: def get_deployment(self, name, endpoint=None):
      return {"key1": "val1", "key2": "val2"}
  
file_path: mlflow/tests/resources/mlflow-test-plugin/mlflow_test_plugin/fake_deployment_plugin.py
imports: import os
  from mlflow.deployments import BaseDeploymentClient, PredictionsResponse
label_desc: Use image node_id 5 for calling the PluginDeploymentClient obj's underlying member method code with example usage: obj.get_deployment(name, endpoint) and returns: dict